Least Square Regression Learning with Data Dependent Hypothesis and Coefficient Regularzation
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Title | Least Square Regression Learning with Data Dependent Hypothesis and Coefficient Regularzation |
Authors | |
Abstract | We study the least square regression with data dependent hypothesis and coefficient regularization algorithms based on general kernel. An explicit expression of the solution of this kernel scheme is derived. Then we provide a sample error with a decay of <o(1/sqr(m)) and estimate the approxi -mation error in terms of some kind of K-functional. |
Publisher | ACADEMY PUBLISHER |
Date | 2011-04-01 |
Source | Journal of Computers Vol 6, No 4 (2011) |
Rights | Copyright © ACADEMY PUBLISHER - All Rights Reserved.To request permission, please check out URL: http://www.academypublisher.com/copyrightpermission.html. |